Browsing University of Waterloo by Subject "artificial intelligence"
Now showing items 1-20 of 53
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Advisor Networks and Referrals for Improved Trust Modelling in Multi-Agent Systems
(University of Waterloo, 2011-02-16)This thesis relates to the usage of trust modelling in multi-agent systems - environments in which there are interacting software agents representing various users (for example, buyers and sellers exchanging products and ... -
AlphaSMT: A Reinforcement Learning Guided SMT Solver
(University of Waterloo, 2023-06-19)Satisfiability Modulo Theories (SMT) solvers are programs that decide whether a first-order logic formula is satisfiable. Over the last two decades, these solvers have become central to many methods and tools in fields as ... -
An Analysis Framework for the Quantization-Aware Design of Efficient, Low-Power Convolutional Neural Networks
(University of Waterloo, 2022-04-29)Deep convolutional neural network (CNN) algorithms have emerged as a powerful tool for many computer vision tasks such as image classification, object detection, and semantic segmentation. However, these algorithms are ... -
An artificial intelligence framework for vehicle crashworthiness design
(University of Waterloo, 2021-11-24)Numerical crash test simulations are crucial for vehicle safety design. In the automotive industry, frameworks based on finite element methods are most common as they are precise and reliable. A few of the setbacks are ... -
Augmenting Local Search for Satisfiability
(University of Waterloo, 2004)This dissertation explores approaches to the satisfiability problem, focusing on local search methods. The research endeavours to better understand how and why some local search methods are effective. At the root of ... -
Augmenting the Author: Exploring the Potential of AI Collaboration in Academic Writing
(Association for Computing Machinery, 2024-03-13)This workshop paper presents a critical examination of the integration of Generative AI (Gen AI) into the academic writing process, focusing on the use of AI as a collaborative tool. It contrasts the performance and ... -
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning
(University of Waterloo, 2019-12-05)Harmful algae blooms (HABs) can produce lethal toxins and are a rising global concern. In response to this threat, many organizations are monitoring algae populations to determine if a water body might be contaminated. ... -
Automating Water Capital Activities Using Naïve Bayes Classifier with Supervised Learning Algorithm
(University of Waterloo, 2021-08-09)Municipal governments have the responsibility to provide safe drinking water to residents. Maintaining water infrastructure systems to keep a certain level of service is a vital service. It is possible by assessing all ... -
Beneath the Hype: Engaging the Sociality of Artificial Intelligence
(University of Waterloo, 2018-04-23)Artificial intelligence (AI) is highly visible in today’s public media. With potential uses across domains such as healthcare, labour and transportation, its capacity to impact human lives is widely apparent. As it continues ... -
Clinical Applications of Artificial Intelligence in positron emission tomography of Lung Cancer
(Elsevier, 2022-01)The ability of a computer to perform tasks normally requiring human intelligence or artificial intelligence (AI) is not new. However, until recently, practical applications in medical imaging were limited, especially in ... -
Controlled Generation of Stylized Text Using Semantic and Phonetic Representations
(University of Waterloo, 2022-01-21)Neural networks are a popular choice of models for the purpose of text generation. Variational autoencoders have been shown to be good at reconstructing text and generating novel text. However, controlling certain aspects ... -
Coordination in a Peer Production Platform: A study of Reddit's /r/Place experiment
(University of Waterloo, 2018-10-24)Understanding the factors causing groups to engage in coordinating behaviour has been an active research area for decades. In this thesis, we study this problem using a novel dataset of crowd behaviour from an online ... -
Deep Learning-Enabled Cerebrovascular Reactivity Processing Software
(University of Waterloo, 2022-12-23)Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique that is used to generate high-resolution images of the brain. Blood oxygenation level dependent (BOLD) imaging is a functional MRI technique that ... -
Dynamic Crowdsourcing Consensus Tasks with Workers That Can Learn
(University of Waterloo, 2016-01-21)Crowdsourcing has become one of the most popular topics in both academia and industry in the past few years. By hiring workers online, task assigners can take advantage of the wisdom of the crowd and solve problems that ... -
Dynamic-Occlusion-Aware Risk Identification for Autonomous Vehicles Using Hypergames
(University of Waterloo, 2021-12-17)A particular challenge for both autonomous vehicles (AV) and human drivers is dealing with risk associated with dynamic occlusion, i.e., occlusion caused by other vehicles in traffic. In order to overcome this challenge, ... -
Empirical Game Theoretic Models for Autonomous Driving: Methods and Applications
(University of Waterloo, 2022-09-16)In recent years, there has been enormous public interest in autonomous vehicles (AV), with more than 80 billion dollars invested in self-driving car technology. However, for the foreseeable future, self-driving cars will ... -
Energy Regeneration and Environment Sensing for Robotic Leg Prostheses and Exoskeletons
(University of Waterloo, 2021-12-23)Robotic leg prostheses and exoskeletons can provide powered locomotor assistance to older adults and/or persons with physical disabilities. However, limitations in automated control and energy-efficient actuation have ... -
Evaluating Speech Intelligibility with Processed Sound
(University of Waterloo, 2023-09-18)This paper was created with the goal of researching the different impacts that background noise can have on listeners' ability to interpret speech. The brain is responsible for separating speech and noise, but this can be ... -
FJMP: Factorized Joint Multi-Agent Motion Prediction
(University of Waterloo, 2023-08-30)Multi-agent motion prediction is an important problem in an autonomous driving pipeline, and it involves forecasting the future behaviour of multiple agents in complex driving environments. Autonomous vehicles (AVs) should ... -
The Free Self: What Separates Us From Machines
(University of Waterloo, 2023-08-29)Could a machine ever achieve consciousness? Will it ever make sense to hold a machine morally responsible? In this thesis, I argue that the architecture of SPAUN - the largest WIP functioning brain model currently in ...